Specialization project I
Field of study: Computer Science
Programme code: 08-S2INIA15.2016

Module name: | Specialization project I |
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Module code: | 08-IN-GWK-S2-PS1 |
Programme code: | 08-S2INIA15.2016 |
Semester: | summer semester 2016/2017 |
Language of instruction: | English |
Form of verification: | course work |
ECTS credits: | 2 |
Description: | This module enables the student to gain the skill of programming advanced algorithms of multiresolution image processing. |
Prerequisites: | (no information given) |
Key reading: | (no information given) |
Learning outcome of the module | Codes of the learning outcomes of the programme to which the learning outcome of the module is related [level of competence: scale 1-5] |
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Can work in a team of two and divides work properly. [PS1-K_8] |
K_2_A_I_K03 [1/5] |
Can implement basic algorithms of image processing. [PS1-U_5] |
K_2_A_I_U01 [1/5] |
Can implement basic algorithms of video image processing. [PS1-U_6] |
K_2_A_I_U01 [1/5] |
Can give a presentation of the executed project. [PS1-U_7] |
K_2_A_I_U02 [1/5] |
Has basic knowledge of image processing. [PS1-W_1] |
K_2_A_I_W03 [1/5] |
Has basic knowledge of image segmentation in real time. [PS1-W_2] |
K_2_A_I_W15 [1/5] |
Possesses basic knowledge about lossy and loseless compression. [PS1-W_3] |
K_2_A_I_W15 [1/5] |
Possesses basic knowledge of video coding standards. [PS1-W_4] |
K_2_A_I_W10 [1/5] |
Type | Description | Codes of the learning outcomes of the module to which assessment is related |
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Test [PS1_w_1] | Checking theoretical knowledge during laboratory class. |
PS1-W_1 |
Project [PS1_w_2] | Preparing the project on the given topic, connected with multiresolution image analysis. |
PS1-K_8 |
Presentation [PS1_w_3] | Preparing and giving the project presentation. |
PS1-K_8 |
Form of teaching | Student's own work | Assessment of the learning outcomes | |||
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Type | Description (including teaching methods) | Number of hours | Description | Number of hours | |
laboratory classes [PS1_fs_1] | Computer classes in the form of implementation of algorithms for image processing and recognition. |
45 | Individual preparation for the laboratory class.
Familiarizing with project thematic and executing the project individually or in teams of two.
Preparing a presentation describing project subject matter.
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15 |
Test [PS1_w_1] |
Attachments |
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Module description (PDF) |
Syllabuses (USOSweb) | ||
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Semester | Module | Language of instruction |
(no information given) |